• Communications of Mathematical Education
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• v.20 no.4 s.28
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• pp.537-549
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• 2006

MAA Digital library Workshop, October 6-8, 2006 was held at the newly completed Carriage House Conference Center at MAA Headquarters. This workshop is designed to inform participants about the Mathematical Sciences Digital Library (MathDL), the new MAA Math Gateway project, and the National Science Digital Library (NSDL) and to enable participants to conduct short sessions publicizing these online resources at MAA Section Meetings. The workshop was conducted by Lang Moore, David Smith, and Eileen McIlvain. Major support is being provided by the National Science Foundation through the National Science Digital Library Program. We introduce what was in there and how we properly use and publicize them and add what we could do.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.3
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• pp.874-890
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• 2021

With the widespread deployment of the fifth-generation (5G) communication networks, various real-time applications are rapidly increasing and generating massive traffic on backhaul network environments. In this scenario, network congestion will occur when the communication and computation resources exceed the maximum available capacity, which severely degrades the network performance. To alleviate this problem, this paper proposed an intelligent resource allocation (IRA) to integrate with the extant resource adjustment (ERA) approach mainly based on the convergence of support vector machine (SVM) algorithm, software-defined networking (SDN), and mobile edge computing (MEC) paradigms. The proposed scheme acquires predictable schedules to adapt the downlink (DL) transmission towards off-peak hour intervals as a predominant priority. Accordingly, the peak hour bandwidth resources for serving real-time uplink (UL) transmission enlarge its capacity for a variety of mission-critical applications. Furthermore, to advance and boost gateway computation resources, MEC servers are implemented and integrated with the proposed scheme in this study. In the conclusive simulation results, the performance evaluation analyzes and compares the proposed scheme with the conventional approach over a variety of QoS metrics including network delay, jitter, packet drop ratio, packet delivery ratio, and throughput.